Context-aware coarse-to-fine network for single image desnowing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17674-y.pdf
Reference55 articles.
1. Chen H, Wang Y, Guo T et al (2021a) Pre-trained image processing transformer. In: IEEE conference on computer vision and pattern recognition, pp 12299–12310
2. Chen T, Kornblith S, Norouzi M et al (2020a) A simple framework for contrastive learning of visual representations. In: International conference on machine learning, pp 1597–1607
3. Chen WT, Fang HY, Ding JJ et al (2020b) Jstasr: joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal. In: European conference on computer vision, pp 754–770
4. Chen WT, Fang HY, Hsieh CL et al (2021b) All snow removed: single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss. In: International conference on computer vision, pp 4196–4205
5. Chen WT, Huang ZK, Tsai CC et al (2022a) Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: toward a unified model. In: IEEE conference on computer vision and pattern recognition, pp 17653–17662
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